This file describes the data and programs that can be used to replicate the results reported in the following paper: 

Kotchen, M. J. and L. E Grant �Does Daylight Saving Time Save Energy? Evidence from a Natural Experiment in Indiana,� forthcoming, The Review of Economics and Statistics.

Note: Because of a data use agreement with Duke Energy, we are not permitted to make the data sets of household electricity consumption generally available. However, upon request, we can make the data available for purposes of replication. 

Data sets (available upon request): 
2004.2006_orig_data.dta
2004.2006_TRM_days15-35.dta

Stata programs:
original_to_final.do
final_tables.do

The original data file, �2004.2006_orig_data.dta�, is a Stata-formatted file and contains the monthly electricity usage for each resident from Duke Energy along with transaction dates and meter, county, and zip code locations.  In this file, we merged the assigned billing cycle for each meter position so that each monthly observation is associated with its assigned read-date, according to Duke Energy�s billing-cycle schedule. We also collected and merged data on weather (average heating degree days, AHDD, and average cooling degree days, ACDD) by corresponding zip code, read date and number of days affected for each observation. The original dataset includes 7,939,069 observations, 229,817 residences, and 410,289. 

As given in the Stata do-file �original_to_final.do�, several steps were taken, in consultation with technical staff at Duke Energy, to clean and prepare the data. We first dropped all observations that had a number of days less than 15 and greater than 35 (0.47 percent of the data). Those with transaction dates that were more than one day earlier than the scheduled read date or more than 5 days later were deemed irregular and dropped (an additional 5.94 percent of the data). Finally, we considered irregular and dropped all observations that had less than 1 kWh for average daily consumption (an additional 2.20 percent of the data). After the trimming, we defined the variables and create the dummy (indictor) variables required for the econometric models. 

The final dataset, called �2004.2006_TRM_days15-35.dta� includes 7,267,392 observations, 223,889 residences, and 384,083 tenants. The Stata do-file �final_tables.do� reproduces the values from the tables and figures in the text.  
